Methods and Systems for Interactively Counseling a User with Respect to Supervised Content

1. A method comprising: determining, by one or more computing devices and based at least in part on one or more machine learning (ML) models, that one or more interfaces displayed to a user include content of a content type designated by a content supervisor of the user for identification; responsive to determining that the one or more interfaces displayed to the user include the content of the content type designated for identification, generating, by the one or more computing devices, data representing a graphical user interface (GUI) for presentation to the user, the GUI indicating detection of the content of the content type and comprising interactive educational material counseling the user with respect to the content type, the interactive educational material comprising a game configured to assess cognitive decline of the user associated with viewing the content of the content type; and determining, by the one or more computing devices and based at least in part on one or more interactions of the user with the game, a measure of cognitive decline of the user associated with viewing the content of the content type.

2. The method of claim 1 , wherein the interactive educational material comprises one or more prompts for the user to perform a specified physical exercise activity.

3. The method of claim 2 , comprising determining, by the one or more computing devices and based at least in part on data generated by one or more sensors associated with at least one of the user or the one or more computing devices, a measure of the specified physical exercise activity performed by the user in response to the one or more prompts.

4. The method of claim 1 , wherein: the one or more interfaces displayed to the user comprise at least one interface associated with a web browser; and the method comprises, responsive to the user interacting with the interactive educational material, closing one or more elements of the at least one interface comprising the content of the content type such that the one or more elements comprising the content of the content type are no longer displayed to the user.

5. The method of claim 1 , wherein the interactive educational material comprises one or more prompts for the user to modify their behavior with respect to viewing content of the content type in exchange for an incentive.

6. The method of claim 5 , wherein: the incentive comprises an increase in a quota of a type of allowed interaction between the user and at least one of the one or more computing devices over a defined period of time; and the method comprises, responsive to determining, by the one or more computing devices and based at least in part on the one or more ML models, that the user modified their behavior with respect to viewing content of the content type in accordance with the one or more prompts, increasing, by the one or more computing devices, the quota in accordance with the incentive.

7. A method comprising: receiving, by one or more computing devices, data describing one or more activity patterns of a user with respect to at least one of the one or more computing devices; receiving, by the one or more computing devices, data indicating one or more responses of the user to one or more prompts for objective information about at least one of their physical or mental health; determining, by the one or more computing devices and based at least in part on the data describing the one or more activity patterns of the user with respect to the at least one of the one or more computing devices, the data indicating the one or more responses of the user to the one or more prompts for objective information about the at least one of their physical or mental health, and one or more unsupervised machine learning (ML) models, a proxy of a subjective mental health state of the user; and updating, by the one or more computing devices, the one or more unsupervised ML models based at least in part on one or more determined correlations between the proxy of the subjective mental health state of the user and data describing one or more subsequent activity patterns of the user with respect to at least one of the one or more computing devices.

8. The method of claim 7 , wherein the one or more activity patterns of the user correspond to at least one of: online shopping; one or more addictive behaviors; viewing one or more of imagery depicting violence, imagery associated with gambling, or sexually explicit imagery; or viewing content associated with one or more of bullying, suicidal ideation, or psychological concerns.

9. The method of claim 7 , comprising identifying, by the one or more computing devices, the one or more activity patterns of the user based at least in part on one or more ML models and at least one of: peripheral input data associated with activity of the user; network communication data associated with activity of the user; or one or more images of one or more interfaces displayed to the user.

10. The method of claim 7 , wherein the data indicating the one or more responses of the user to the one or more prompts for objective information about the at least one of their physical or mental health indicates one or more images selected by the user, from amongst a plurality of different images presented to the user in association with the one or more prompts, as corresponding to a current state of the at least one of their physical or mental health.

11. The method of claim 7 , wherein the data indicating the one or more responses of the user to the one or more prompts for objective information about the at least one of their physical or mental health indicates a level of at least one of nutrition, personal hygiene, sleep, or physical activity of the user within a timeframe specified by the one or more prompts.

12. The method of claim 7 , comprising generating, by the one or more computing devices and based at least in part on the proxy of the subjective mental health state of the user, data representing a graphical user interface (GUI) for presentation to a content supervisor of the user.

13. A system comprising: one or more processors; and a memory storing instructions that when executed by the one or more processors cause the system to perform operations comprising: determining, based at least in part on one or more machine learning (ML) models, that one or more interfaces displayed to a user include content of a content type designated by a content supervisor of the user for identification; responsive to determining that the one or more interfaces displayed to the user include the content of the content type designated for identification, generating data representing a graphical user interface (GUI) for presentation to the user, the GUI indicating detection of the content of the content type and comprising interactive educational material counseling the user with respect to the content type, the interactive educational material comprising a game configured to assess cognitive decline of the user associated with viewing the content of the content type; and determining, based at least in part on one or more interactions of the user with the game, a measure of cognitive decline of the user associated with viewing the content of the content type.

14. The system of claim 13 , wherein the interactive educational material comprises one or more prompts for the user to perform a specified physical exercise activity.

15. The system of claim 14 , wherein the operations comprise determining, based at least in part on data generated by one or more sensors associated with at least one of the user or the system, a measure of the specified physical exercise activity performed by the user in response to the one or more prompts.

16. The system of claim 13 , wherein: the one or more interfaces displayed to the user comprise at least one interface associated with a web browser; and the operations comprise, responsive to the user interacting with the interactive educational material, closing one or more elements of the at least one interface comprising the content of the content type such that the one or more elements comprising the content of the content type are no longer displayed to the user.

17. The system of claim 13 , wherein the interactive educational material comprises one or more prompts for the user to modify their behavior with respect to viewing content of the content type in exchange for an incentive.

18. The system of claim 17 , wherein: the incentive comprises an increase in a quota of a type of allowed interaction between the user and the system over a defined period of time; and the operations comprise, responsive to determining, based at least in part on the one or more ML models, that the user modified their behavior with respect to viewing content of the content type in accordance with the one or more prompts, increasing the quota in accordance with the incentive.